APPLICATION OF MATHEMATICAL PLANNING OF EXPERIMENT METHOD FOR NEURAL NETWORK TRAINING
Annotation
Results of application of experimental design methods to formation of learning sample for neural network are presented.
Keywords
Постоянный URL
Articles in current issue
- ANALYSIS OF OPERATION MODES OF QUASI-RESONANT VOLTAGE CONVERTER
- UNIFICATION OF INTERFACE MODULES OF ONBOARD CONTROL SYSTEM UNITS
- ELECTROSTATIC RELAY ON THE BASE OF MICROELECTROMECHANICAL TECHNOLOGY
- PHYSICAL MODELING OF CHARACTERISTICS OF PUMP IN SPACE VEHICLE HEAT REGULATION SYSTEM
- ON ABSOLUTE STABILITY OF PROCESSES IN SOLAR ARRAY SIMULATOR
- IDENTIFICATION OF ALLOY GRADE WITH THE USE OF NONDESTRUCTIVE CONTROL METHODS
- CORRECTION OF ENDURANCE TEST DATA FOR ELECTROMECHANICAL DEVICES UNDER SMALL SAMPLES CONDITIONS
- ON MATHEMATICAL MODELING OF ELECTRICAL TESTING OF COMMUNICATION SATELLITES
- MATHEMATICAL PLANNING OF EXPERIMENT UNDER FACTOR NICHE CONDITIONS
- APPLICATION OF MATHEMATICAL PLANNING OF EXPERIMENT METHOD FOR NEURAL NETWORK TRAINING
- INVESTIGATION OF ONBOARD APPARATUS COMPONENTS UNDER SPACE CONDITIONS
- MINIMAL NECESSARY EXTENT OF EXAMINATIONS OF MICROELECTRONIC PRODUCTS AT INSPECTION TEST STAGE
- ARCHITECTURE OF AN EDA-SYSTEM ON THE BASE OF COMPETITIVE PARALLEL PROCESSES
- NONPARAMETRIC ALGORITHMS OF PATTERN RECOGNITION IN THE PROBLEM OF HYPOTHESIS TESTING ON DISTRIBUTIONS OF RANDOM VARIABLES
- NONPARAMETRIC ALGORITHM OF AUTOMATIC CLASSIFICATION OF STATISTICAL DATA